Sustainable coal supply chain management using exergy analysis and genetic algorithm

• Autorzy: Naderi Reihaneh , Shafiei-Nikabadi Mohsen , Alem-Tabriz Akbar , Pishvaee Mir Saman

Identyfikatory

DOI

10.2478/mspe-2021-0006

• Języki publikacji: EN

Abstrakty

EN

Environmental threats of coal usage in the electricity production combined with the consumption of renewable and non-renewable resources had led to worldwide energy challenges. The cost of coal mining and economical and environmentally sustainable usage of mined coal could be optimized by efficient management of coal supply chain. This paper provides a mathematical model for improving coal supply chain sustainability including the cost of exergy destruction (entropy). In the proposed method, exergy analysis is used to formulate the model considering not only economic costs but also destructed exergy cost, while genetic algorithm is applied to efficiently solve the proposed model. In order to validate the proposed methodology, some numerical examples of coal supply chains are presented and discussed to show the usability of the proposed exergetic coal supply chain model and claim its benefits over the existing models. According to the results, the proposed method provides 17.6% saving in the consumed exergy by accepting 2.7% more economic costs. The presented model can be used to improve the sustainability of coal supply chain for either designing new projects or upgrading existing processes.

Słowa kluczowe

EN

coal supply chain; exergy; genetic algorithm; sustainability

• Wydawca: STE GROUP
• Czasopismo: Management Systems in Production Engineering
• Rocznik: 2021
• Tom: nr 1 (29)
• Strony: 44--53
• Opis fizyczny: Bibliogr.42 poz., rys., tab.

Twórcy

autor

Naderi Reihaneh

• Semnan University, Semnan Faculty of Economics, Management and Administration Sciences Industrial Management Department, Iran

autor

Shafiei-Nikabadi Mohsen

• Semnan University, Semnan Faculty of Economics, Management and Administration Sciences Industrial Management Department, Iran, tel.: [phone], Fax: [phone]

• https://orcid.org/0000-0002-9744-960X

autor

Alem-Tabriz Akbar

• Shahid Beheshti University, Tehran Faculty of Management and Accounting Industrial Management Department, Iran

autor

Pishvaee Mir Saman

• School of Industrial Engineering Iran University of Science and Technology, Tehran, Iran

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).